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DeepDetect v0.9.7 - Torch 1.4 + Object detection Improvements + Fixes
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@beniz beniz released this 23 Apr 09:53
· 948 commits to master since this release
v0.9.7
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This release updates to C++ torch 1.4, improves speed and accuracy when training object detection models, and fixes various issues.

Features & Updates

  • Support for Torch 1.4 with BERT and image classification models update #698
  • New CUDNN convolution backend for Caffe saves a lot of memory for ResNext architectures and grouped convolutions, see jolibrain/caffe#65
  • Geometry transforms for object detection training, #702 and jolibrain/caffe#67
  • Much faster training of object detectors, see jolibrain/caffe#70
  • Added unit tests for TensorRT backend #697
  • Segmentation benchmark script #711

Models

  • added RefineDet VoVNet39 512x512 architecture for SotA object detection #700

API changes

  • fine-grained CUDNN engine selection #696

Bug fixes

  • Fixed Dlib logger in chains #699
  • Fixes to torch API unit tests #704
  • Fixed TensorRT classification best API keyword behavior #720
  • Fixed logging from within output connectors #705
  • Fixed rare case in metrics #708
  • Fixed CUDA arch for FAISS builds #710
  • Fix to rotate actions in chains #713
  • Fix of Torch backend build along with Caffe #714
  • Fixed error handling on model parser failure #712
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